[rgb]0,0.,0We detail the comparison with the state-of-the-art encoder-based method [1]} on ShanghaiTech in Figure REF . The multiple instance pseudo label generator performs much better than Zhong et al.  [1]}, which indicates the drawback of utilizing video-level labels as clip-level labels. Even though Zhong et al. [1]} optimizes for three iterations, it falls far behind our MIST with 16.69% AUC on C3D, which solidly verifies the efficiency and efficacy of MIST. Moreover, our MIST is much faster in the inference stage, as Zhong et al.  [1]} applies 10-crop augmentation.
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